Open Source Java Load Balancers - Page 2

SOAP Message Service Handler open platform built on top of Apache Axis. Provides hot service and interceptor deployment, load balancing, monitoring and payment services. Includes also a number of modules for WS-Security, WS-Routing, ebXML MS, CPP and CPA.

Pure Java full-featured multi-player gaming system Pluggable, configurable game engine Distributable, load-balancing, "world engine". flocking, Genetic Algorithms and neural networks 3D clients, ZMUD(tm) clients, regular TELNET access (TCP/UDP

NFC is a scalable, distributed chat server and client implemented in Java. Notable features include built in load balancing and HTTP-tunneling support. Using the load balancing, a distributed network of servers can be formed, similar to an IRC network.

Open Streaming Server is an digital media delivery. Main characteristics are: - Streaming of mp4, 3gp, WMF, QT files - Dynamic Bandwidth adaptation - Load balancing - Content distribution Technology: C++, Java and CORBA.

OpenJCS (Job Control System) is a batch scheduling and control system for use on Unix systems which uses load balancing, dependency control, scheduling, runbooks, queueing and resource allocation subsystems for unmatched scalability and flexibility.

Pop Framework (or Pop), http://www.popframework.net, is a bean-based MVC framework for Java/J2EE web applications. Pop implements IoC, Dependency Injection, and AOP. Pop provides annotations for users to define and reference a bean. Pop can help users to customize a bean, a scope, a factory and a reference in object-oriented way. Pop treats a bean as the model of a web page (JSP or servlet), the webpage itself is a view of the bean. The model provides the data for the view, the view is responsible for rendering the data. The Pop itself acts as the general-purposed controller for all views and models. The beans defined in server-side can be referenced by hyperlinks in client-side directly. Views and Models are therefore loosely coupled in Pop. A model can have multiple views for different devices and different locales. Each view and each model can be maintained and optimized independently and in parallel.

Ribbon is a Inter Process Communication (remote procedure calls) library with built in software load balancers. The primary usage model involves REST calls with various serialization scheme support. Ribbon comprises of multiple components some of which are used in production internally and some of which were replaced by non-OSS solutions over time. This is because Netflix started moving into a more componentized architecture for RPC with a focus on single-responsibility modules. So each Ribbon component gets a different level of attention at this moment. APIs that integrate load balancing, fault tolerance, caching/batching on top of other ribbon modules and Hystrix. Load balancer APIs that can be used independently or with other modules. APIs using Eureka client to provide dynamic server list for cloud.

Go to project's home page here (in french only) : https://rocketmix.github.io Go to source code and technical documentation here : https://github.com/rocketmix/rocketmix.source RocketMiX is an open source API platform build on "classic" Spring and Netflix components. It contains : * a routing server * a management server (which embeds a directory of your APIs and a monitoring UI) * a Spring Boot Starter module (hosted on Maven central) RocketMiX aims to be a simplified API Plateform. To perform that, we simplified everything and just offered Linux executables instead of complex Java packages: one for the routing server and one for the management server. APIs you would build using our Spring Boot Starter module would automatically register themselves t make calls automatically routed to them. RocketMiX also offers some documentation features (with Swagger UI and OpenAPI specs), security, load-balancing and many more.

Sequoia is a database clustering middleware offering load balancing and transparent failover. Databases are replicated over multiple nodes and Sequoia balances the queries between them. Sequoia supports online maintenance and recovery operations.

Spring Cloud Alibaba provides a one-stop solution for distributed application development. It contains all the components required to develop distributed applications, making it easy for you to develop your applications using Spring Cloud. With Spring Cloud Alibaba, you only need to add some annotations and a small amount of configurations to connect Spring Cloud applications to the distributed solutions of Alibaba, and build a distributed application system with Alibaba middleware. Flow control and service degradation: flow control, circuit breaking and system adaptive protection with Alibaba Sentinel. Service registration and discovery: instances can be registered with Alibaba Nacos and clients can discover the instances using Spring-managed beans. Supports Ribbon, the client side load-balancer via Spring Cloud Netflix. Distributed Configuration: using Alibaba Nacos as a data store.

This project provides Netflix OSS integrations for Spring Boot apps through autoconfiguration and binding to the Spring Environment and other Spring programming model idioms. With a few simple annotations you can quickly enable and configure the common patterns inside your application and build large distributed systems with battle-tested Netflix components. The patterns provided include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). Service Discovery is one of the key tenets of a microservice-based architecture. Trying to hand-configure each client or some form of convention can be difficult to do and can be brittle. Eureka is the Netflix Service Discovery Server and Client. The server can be configured and deployed to be highly available, with each server replicating state about the registered services to the others.

This is a pure IaaS cloud controller with all the basic functionality of IaaS Cloud Controller. This uses proposed “Trust Based Scheduling Algorithm and Load Balancing Algorithm”. It uses Cloud Architecture with Trust Management layer. It uses Qemu machine emulator and virtualizer as virtualization software at Host. It uses Libvirt driver [30] to interact with Qemu and to interact with its virtualization capabilities of a range of operating systems. Libvirt provides a common, generic and stable layer to securely manage domains on a node. As nodes may be remotely located, libvirt provides all APIs required to provision, create, modify, monitor, control, migrate and stop the domains, within the limits of hypervisor support for these operations. Although multiple nodes may be accessed with libvirt simultaneously, which help in maintain the Host remotely, which is the basic requirement of cloud controller. This library is used by all the web controllers and by tools like VirtualBox

Zuul is an L7 application gateway that offers many capabilities, including dynamic routing, monitoring, security, resiliency and more. It is used in the backend of the Netflix streaming service as a front door for all requests from devices and web sites. Zuul is ideal for cases like this where API traffic volume and diversity can become overwhelming and cause production issues to arise suddenly and without warning. Zuul has a broad range of filters that enable it to perform multiple functions quickly and apply functionality to services like Netflix. These functions include security authentication, dynamic routing, stress testing, load shedding and more.

distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.

This project is about to give you a simple (but powerful) loadbalancer written in JAVA. "The performance of a Java based load balancer may never match that of a well written load balancer in C/C++, but as teh platform is evolves further, it can only get better." (from http://javalb.sourceforge.net/) My project is a mutch more simple way to have a TCP loadbalancer. It has a hard coded round robin (tictoc) algorythm, and (right now) limited to 2 realservers (it will change in the future)

Tomcat clustering, providing failover clustering, load balancing clustering, tomcat clustering. Including apache and tomcat web server. Need to copy and run on server.

The underlayer is a symmetric decentralized parallel computing and load balancing framework, providing c, perl and java APIs for distributed job management.